A DEA Based Multi-Objective Decision Making Method and its Application

Abstract:

Comparing various methods of multi-objective decision making, we find data envelopment analysis method is very suitable for handling multi-input, especially multi-output problems, and also get lots of useful management information. Natural Science Foundation research activity, having multi-input and multi-output variable, is a typical multi-objective decision problem, so it is ideal for using DEA method to study the effectiveness and implementation results of the activity. Therefore, the paper based on the models of C²R and C²GS², excess input and output shortage of DEA method and taking the Natural Science Foundation of Hebei Province as the research object measures and analyzes the implementation results of different years and types of research activities. The conclusion is that the implementation effect of the Natural Science Foundation of Hebei Province is well overall and it has a good development trend but uneven development in different years, different units and disciplines, namely that implementation results are quite different.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 2465-2471
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.2465
• Online since: September 2013
• Authors: Rong Ping Li, Zheng Cui, Rui Bing Du
• Keywords: DEA Method, Implementation Effect, Multi-Objective Decision, Natural Science Foundation

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